Welcome to the "find out" stage of AI
The AI industry has moved beyond the experimental phase into a 'find out' stage where reliability, trust, and real-world value are paramount. Companies are now focused on deploying AI agents that can operate safely and effectively in complex environments, particularly in high-stakes sectors like healthcare and law. The emphasis has shifted from novelty and emergent behaviors to accountability, verification, and ensuring AI actions are both accurate and authorized.
- ▪AI is transitioning from experimental novelty to a phase requiring measurable business value and reliability.
- ▪Enterprises demand trustworthy AI due to the serious consequences of errors in sectors like healthcare and law.
- ▪Hallucinations and unauthorized actions remain key challenges, driving innovation in verification, access control, and agentic memory.
- ▪Industry leaders emphasize that future AI adoption will be limited more by trust than by model performance.
- ▪Solutions being explored include better context handling, zero-trust permissioning, and tying agent actions to authenticated human users.
Opening excerpt (first ~120 words) tap to expand
April 27, 2026Welcome to the “find out” stage of AIAI companies are looking a little different after going through a few renewal cycles. Credit: Alexandra FrancisWhen I went to the first HumanX conference in January 2025, agents were vaguely-defined frontier tech. It was the first time I heard the letters MCP. The big conversations were around inference, hallucinations, and retrieval augmented generation. The tech felt new—Tomasz Tunguz of Theory Ventures called it the “bottom of the first inning.” Every company was running AI experiments all the time.Since then, companies have played a few innings in the AI game. As Anish Agarwal, CEO at Traversal told me, “More companies have gone through a renewal cycle with customers.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Stackoverflow.
